Daniel Shin is a Senior Machine Learning Engineer at Bloomberg LP, specializing in generative AI and large language models with experience in audience modeling and user journey modeling. Prior to this role, Daniel served as Manager of Machine Learning Engineering at Capital One, focusing on recommendation systems and time series forecasting. Daniel has also held positions as Lead Data Scientist at Click Therapeutics, Inc., where work involved predicting behavior on health data and developing data infrastructure, and as a Business Analytics Consultant and Data Scientist at IBM, contributing to advanced analytics solutions across various industries. Earlier career experiences include time as a Data Science Fellow at Metis and research roles at Weill Cornell Medical College and NYU Langone Medical Center, concentrating on cardiovascular genetics and electrophysiology. Daniel holds a Master of Science in Analytics from Georgia Institute of Technology and a Bachelor of Arts in Biochemistry from New York University.
This person is not in the org chart
This person is not in any teams
This person is not in any offices